Introduction to Building a Smart Farm Platform - IoT Smart Farm Starting with Arduino and AI Tutor

This course is structured to provide systematic learning, from basic database concepts to practical SQL applications, based on the Oracle Database 11g environment. Through step-by-step hands-on practice, you will master core content essential for database practice, including SELECT statements for data retrieval, DML for data manipulation, DDL for data definition, and user privilege management. Furthermore, this course goes beyond simple video lectures by providing an LLM-based AI Tutor, designed to allow learners to study by asking questions and receiving answers on their own. By utilizing the AI Tutor, the following types of learning are possible: - SQL syntax explanations and example generation - Analysis and correction of SQL error causes - Automatic generation of practice problems - Q&A on database concepts - Customized review based on learning progress - Generation of expected questions for certifications and job interviews Therefore, this course is suitable not only for beginners new to databases but also for professionals and job seekers looking to strengthen their practical SQL skills.

This is an advanced course where you will directly implement and interpret practical statistical techniques such as sampling distributions, hypothesis testing, regression analysis, and logistic regression using R. By utilizing AI tutors like ChatGPT and Gemini, you will learn everything from code generation to interpreting analysis results and writing reports, allowing you to take your data analysis capabilities to the next level.

Feeling overwhelmed by where to start with complex data analysis? I will clearly guide you through how to utilize R and AI Tutors using the practical know-how I've built up.

Through a systematic curriculum of 40 lectures, you will learn everything from the basic theories of AI to the applied AI technologies of each algorithm. Through mathematical intuition and R coding algorithm learning and practice, you will develop immediately applicable AI model development capabilities, covering everything from designing algorithm models for data analysis, machine learning, and their application tools to selecting and utilizing them.

Practical Hadoop & Hive Big Data with LLM Hadoop Ecosystem with AI Tutor This course focuses on understanding the Hadoop Ecosystem, a core technology of the Big Data era, and provides hands-on learning on how to process large-scale data using Distributed Storage (HDFS), Distributed Processing (MapReduce), and Data Warehousing (Hive). The curriculum is designed to help you master the core technologies of big data processing step-by-step, from Hadoop's basic structure and operating principles to HDFS, YARN, MapReduce, and Hive. In particular, you will build practical skills applicable in the field by performing tasks ranging from setting up a virtual machine-based practice environment to actual data processing and analysis. Furthermore, this course goes beyond simple video lectures by providing a self-directed learning environment utilizing an LLM-based AI Tutor. Students can maximize their learning efficiency through the AI Tutor, which provides Q&A for Hadoop and Hive concepts, error troubleshooting, practice problem generation, HiveQL writing support, and project learning guides.

This is a course where you will build a map service from scratch using the MERN stack (feat. TypeScript). Let's build it step-by-step while following the official API documentation.

Learn Springboot + React RestAPI Board Creation Faster Than Anyone Develop a CRUD server with Springboot and create your own board with React!!

Starting with the question, "If I were on the Titanic, would I have survived?", this course completes a full-stack project where you develop an AI model to predict survival probabilities based on real data and deploy it as a web service. You will gain hands-on experience in the entire process of AI and web development, from deep learning modeling using PyTorch to building a backend server with FastAPI and implementing a user interface with Next.js.

This is a process for completing IoT products without complex coding, using the Vibe Coding methodology powered by AI agents. You can experience the entire product development cycle in a condensed format—from embedded hardware control and AI vision recognition to PCB design, 3D printing, and web/app service development—allowing you to launch functional, commercial-grade IoT devices.

We will create an ad-monetized website using React. You will learn how to optimize advertisements, reduce server costs, and gain site operation tips according to the scale of your project.

This lecture provides a rough overview of backend basics with FastAPI, along with deploying to AWS using React.js, allowing you to quickly experience the actual deployment process.

This is a practical course where you can learn the process of building a company website yourself using React, Node.js, and MongoDB. Let's build a full-stack project together with a basic background in React and Node.js!

A portfolio-focused course on deploying a React frontend and Spring Boot backend directly to the AWS cloud! This course is helpful for those who want to quickly deploy frontend and backend projects for their portfolio. You will gain the necessary knowledge for deployment through short-term, step-by-step practice, covering everything from server configuration to Docker, domain connection, Nginx, and HTTPS application!

This is a course where you can learn FastAPI, which is easy and fast for modern full-stack and backend development, starting from backend concepts step by step to FastAPI core syntax and asynchronous database usage, organized with clean materials and projects.

A full course on Next.js you can sink your teeth into! Complete a real-world project using the latest technologies such as GraphQL, Redis, RabbitMQ, Prisma, TailwindCSS, Docker Compose, Cypress, Prometheus, and Grafana, and experience both the App Router and Page Router.

This course aims to understand IoT concepts and develop practical skills through hardware construction and coding using Arduino and Micro:bit.

Developing an AI Safety Report Service with React + Spring AI The 5th Neo + Essential project lecture is about building a Safety Report system, an idea for improving government systems!

Real-world practice is harsh. I will perfectly pass down my essence of optimization—designed to maintain a smooth user experience even in extreme environments where tens of thousands of real-time data points pour in—through a meticulous mission system. Go beyond simply being someone who writes code and leap forward into an irreplaceable senior engineer who orchestrates performance through the principles of the engine.

Based on the experience of wondering how facial recognition works in offline environments on-site, this course will guide you through building the basic structure of a facial recognition-based access and attendance management system using React + Electron and Python's FastAPI-based DeepFace. Rather than focusing on perfection, we focus on understanding the operating principles and laying the foundation for you to expand into your own personal projects.

New to React? You need to think about how to learn React's fundamental concepts solidly yet quickly. Start with Next.js and JavaScript with minimal knowledge. Let's develop by selecting only the essential examples needed for real-world development. The Todo example is so important that you should develop it twice. Once focusing on components, and then focusing on routing that handles browser paths! Use Zustand for login! You can handle global state with a really small amount of code.

In the era of swift execution and validation, execute faster than anyone with VIBE Coding! Achieve complete monetization, from ads to payments, all by yourself.

For those new to the high-performance microcontroller STM32F series, this guide covers all processes for an easy start, from the installation of the free compiler TrueSTUDIO and code auto-generation program CubeMX, through conceptual explanations of chip functions, source code writing (including HAL driver function explanations), to hardware implementation.

You can learn the basics of React. You can organize HTML, JavaScript, DOM, Event, Object, Module, OOP, etc. related to React.

★PYTHON★ This is a basic lecture on server development using Fast API. Learn how to develop servers easily, quickly, and conveniently using various packages such as Fast API, SQLAlchemy, Pydantic, and Starlette! Don't worry, we have prepared a DB backup file as well as integration with PostgreSQL! We will teach you the "basics" of UI design using Dash and Plotly and provide the source code used in the lecture :)

--- Learning a skill is about reclaiming the options in your life --- In an era overflowing with digital content created by generative AI, what is your competitive edge? Data created by the Internet of Things (IoT), which connects AI with physical phenomena, will become your competitive advantage. This course connects sensor data to networks, giving you the sense that you are someone who can directly transform real-world problems into systems. This lecture will be helpful for the following people: - Digital content creators using sensor data collection, interpretation, processing, and AI model generation - Entrepreneurs and educational content developers utilizing sensor data